Usage

To generate all results (in data/) using the provided scripts, simply run

python gen_all.py

in Python and then

run('filt_cnn_artifact.m')

in Matlab or Octave. The final output will be in results/.

Note that in the paper we trained a CNN on a dataset of 80,000 paintings collected from wikiart.org, which estimates the stylization level of a given painting and adjust weights accordingly. We will release the pre-trained model in the next update. Users will need to set those weights manually if running on their new paintings for now.

Removed a few images due to copyright issue. Full set here for testing use only.

Examples

Here are some results from our algorithm (from left to right are original painting, naive composite and our output):